A string providing the name of the variable for which you want the plot to be drawn.
data
Data used to estimate obj.
R
Number of simulations to generate confidence intervals.
nvals
Number of evaluation points of the function
plot
Logical indicating whether or not the result should be plotted (if TRUE) or returned to the console (if FALSE).
...
Arguments passed down to the call to xyplot
Details
Following the advice of Hanmer and Kalkan (2013) the function calculates the average effect of a variable holding all other variables at observed values and then plots the result.
Value
Either a plot or a data frame with variables
mean
The average effect (i.e., predicted probability)
lower
The lower 95% confidence bound
upper
The upper 95% confidence bound
y
The values of the dependent variable being predicted
x
The values of the independent variable being manipulated
Author(s)
Dave Armstrong (UW-Milwaukee, Department of Political Science)
References
Hanmer, M.J. and K.O. Kalkan. 2013. ‘Behind the Curve: Clarifying the Best Approach to Calculating Predicted Probabilities and Marginal Effects from Limited Dependent Variable Models’. American Journal of Political Science. 57(1): 263-277.
Examples
library(MASS)
data(france)
polr.mod <- polr(vote ~ age + male + retnat + lrself, data=france)
## Not run: ordAveEffPlot(polr.mod, "lrself", data=france)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(DAMisc)
Loading required package: car
Loading required package: effects
Attaching package: 'effects'
The following object is masked from 'package:car':
Prestige
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DAMisc/ordAveEffPlot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ordAveEffPlot
> ### Title: Plot Average Effects of Variables in Proportional Odds Logistic
> ### Regression
> ### Aliases: ordAveEffPlot
>
> ### ** Examples
>
> library(MASS)
> data(france)
> polr.mod <- polr(vote ~ age + male + retnat + lrself, data=france)
> ## Not run: ordAveEffPlot(polr.mod, "lrself", data=france)
>
>
>
>
>
> dev.off()
null device
1
>